Use Cases
Real-Time Stock Market News Monitoring
Monitor financial news for key trading events and market-moving information. Track financial news sources for market-moving events, earnings announcements, and trading signals.
APIs Used: Scrape API for extracting news articles and Watch API for real-time monitoring of financial news sources.
Quick Example
import requests
import os
financial_sources = [
{"name": "Bloomberg", "url": "https://www.bloomberg.com/markets", "selector": ".story-list-story__info__headline"},
{"name": "Reuters", "url": "https://www.reuters.com/markets/", "selector": ".story-card__headline"},
{"name": "WSJ", "url": "https://www.wsj.com/news/markets", "selector": ".WSJTheme--headline--"}
]
for source in financial_sources:
requests.post("https://api.supacrawler.com/api/v1/watch",
headers={"Authorization": f"Bearer {os.environ['SUPACRAWLER_API_KEY']}"},
json={
"url": source["url"],
"frequency": "hourly",
"selector": source["selector"],
"notify_email": "[email protected]",
"webhook_url": "https://your-api.com/market-alerts",
"webhook_headers": {"X-Source": source["name"]}
}
)Company-Specific Monitoring
from supacrawler import SupacrawlerClient
client = SupacrawlerClient(api_key=os.environ['SUPACRAWLER_API_KEY'])
# Monitor specific company news
def monitor_company(ticker, company_name):
search_url = f"https://finance.yahoo.com/quote/{ticker}/news"
response = requests.post("https://api.supacrawler.com/api/v1/watch",
headers={"Authorization": f"Bearer {os.environ['SUPACRAWLER_API_KEY']}"},
json={
"url": search_url,
"frequency": "hourly",
"selector": "h3.Mb\\(5px\\)",
"notify_email": f"{ticker.lower()}[email protected]",
"webhook_url": "https://your-api.com/stock-alerts",
"webhook_headers": {"X-Ticker": ticker, "X-Company": company_name}
}
)
return response.json()
# Monitor portfolio
portfolio = [
("AAPL", "Apple"),
("MSFT", "Microsoft"),
("GOOGL", "Google")
]
for ticker, name in portfolio:
result = monitor_company(ticker, name)
print(f"✅ Monitoring {name} ({ticker})")Earnings Calendar
# Monitor earnings announcements
result = client.scrape("https://finance.yahoo.com/calendar/earnings", format="markdown")
import re
earnings_dates = re.findall(r'\d{2}/\d{2}/\d{4}', result.content)
print(f"Upcoming earnings: {len(earnings_dates)} companies")Best Practices
- Hourly monitoring for breaking news
- Multiple sources for comprehensive coverage
- Webhook integration for real-time trading alerts
- Keyword filtering for relevant tickers
- Historical archiving for pattern analysis
- Sentiment analysis with AI post-processing
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